code: def init_hidden_state(self, features):
      h = features.new_zeros(
          (features.size(0), self.config.classifier.params.hidden_dim),
          dtype=torch.float,
      )
      c = features.new_zeros(
          (features.size(0), self.config.classifier.params.hidden_dim),
          dtype=torch.float,
      )
      return h, c
  
file_path: mmf/tests/utils/test_model.py
imports: import torch
  from mmf.common.registry import registry
  from torch import nn
label_desc: Use image node_id 3 for calling the TestDecoderModel obj's underlying member method code with example usage: obj.init_hidden_state(features) and returns: h,  c